1 files changed, 11 insertions, 38 deletions

diff --git a/src/backends/reference/workloads/Merger.cpp b/src/backends/reference/workloads/Merger.cpp
index 8877ee2284..e0b70ee5cb 100644
--- a/src/backends/reference/workloads/Merger.cpp
+++ b/src/backends/reference/workloads/Merger.cpp
@@ -5,43 +5,19 @@
 
 #include "Merger.hpp"
 #include "RefWorkloadUtils.hpp"
+#include "Decoders.hpp"
+#include "Encoders.hpp"
 
 namespace armnn
 {
 
-template <>
-void CopyValue<float>(const float& source, const TensorInfo& sourceInfo, float& dest, const TensorInfo& destInfo)
-{
-    dest = source;
-}
-
-template <>
-void CopyValue<uint8_t>(const uint8_t& source, const TensorInfo& sourceInfo, uint8_t& dest, const TensorInfo& destInfo)
-{
-    if (sourceInfo.GetQuantizationScale() != destInfo.GetQuantizationScale() ||
-        sourceInfo.GetQuantizationOffset() != destInfo.GetQuantizationOffset())
-    {
-        // Dequantize value according to sourceInfo params
-        float dequantizedValue = armnn::Dequantize<uint8_t>(source,
-                                                            sourceInfo.GetQuantizationScale(),
-                                                            sourceInfo.GetQuantizationOffset());
-
-        // Quantize again according to destInfo paramns
-        dest = armnn::Quantize<uint8_t>(dequantizedValue,
-                destInfo.GetQuantizationScale(),
-                destInfo.GetQuantizationOffset());
-    }
-    else
-    {
-        dest = source;
-    }
-}
-
-template <typename DataType>
 void Merger(const MergerQueueDescriptor& data)
 {
     const TensorInfo& outputInfo0 = GetTensorInfo(data.m_Outputs[0]);
 
+    std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputInfo0, data.m_Outputs[0]->Map());
+    Encoder<float>& encoder = *encoderPtr;
+
     for (unsigned int index = 0 ; index < outputInfo0.GetNumElements(); ++index)
     {
         unsigned int indices[MaxNumOfTensorDimensions] = { 0 };
@@ -80,6 +56,9 @@ void Merger(const MergerQueueDescriptor& data)
 
             if (insideView)
             {
+                std::unique_ptr<Decoder<float>> decoderPtr =
+                    MakeDecoder<float>(inputInfo, data.m_Inputs[viewIdx]->Map());
+                Decoder<float>& decoder = *decoderPtr;
                 unsigned int inIndex = 0;
                 unsigned int dimensionStride = 1;
 
@@ -88,11 +67,8 @@ void Merger(const MergerQueueDescriptor& data)
                     inIndex += dimensionStride * (indices[i] - view.m_Origin[i]);
                     dimensionStride *= inputInfo.GetShape()[i];
                 }
-
-                CopyValue<DataType>((GetInputTensorData<DataType>(viewIdx, data))[inIndex],
-                                    GetTensorInfo(data.m_Inputs[viewIdx]),
-                                    (GetOutputTensorData<DataType>(0, data))[index],
-                                    outputInfo0);
+                decoder += inIndex;
+                encoder.Set(decoder.Get());
 
                 //What should we do if input views overlap on the output tensor?
                 //We could error, take the average, or shm else...
@@ -100,11 +76,8 @@ void Merger(const MergerQueueDescriptor& data)
                 break;
             }
         }
+        ++encoder;
     }
 }
 
-template void Merger<float>(const MergerQueueDescriptor& data);
-
-template void Merger<uint8_t>(const MergerQueueDescriptor& data);
-
 } //namespace armnn